Bits & Bytes

AWS introduces Amazon SageMaker Object2Vec. Entity embeddings are a powerful technique gaining traction among many ML users. With its new Object2Vec algorithm, AWS aims to make creating them more accessible for SageMaker users. Object2Vec is a highly customizable multi-purpose algorithm that can learn low-dimensional dense embeddings of high dimensional objects.

Microsoft develops flexible AI system that can summarize the news. Summarization is a hard problem in NLP. Microsoft researchers have developed an AI framework that can reason relationships in “weakly structured” text, enabling it to outperform conventional models on a range of text summarization tasks.

Google launches AI Hub and Kubeflow Pipelines.AI Hub provides a private, secure destination where enterprises can upload and share ML resources within their own organizations as well as access Google-produced content such as including pipelines, Jupyter notebooks, and TensorFlow modules. To support this, Kubeflow Pipelines will provide a way to compose, package, deploy, and manage ML workflows for reuse.

The New York Times taps Google’s AI to manage old photos. Google Cloud has teamed up with The New York Times to digitize and manage over 7 million archived photos and will use ML to find new insights from the old photos.

OpenAI releases SpinningUp in Deep RL.For reinforcement learning fans and students in the community, this new educational resource from OpenAI provides a wealth of info and references to help users understand deep reinforcement learning. Would anyone be interested in a Deep RL course/study group based on this resource in early 2019?